Skin cancer early detection constitutes the biggest challenge of dermatology practices. The application of teledermatology and total body photography has brought great improvements in detecting the disease at early stages with higher survival rates and important saving in the public health systems.
Total Body Photography (or full-body imaging) is useful for monitoring patients with a greater risk of developing skin cancer. However, with this method requires many imaging sessions in a clinic setting. How are dermatologists addressing this challenge while ensuring patients receive quality care?
Artificial intelligence is revolutionizing the concept of learning through the use of powerful algorithms capable of outperform human experts in a variety of disciplines. However, such success is reliant on the relatively unknown tasks of “humans in the loop” for data labelling.
Dermatology EMR systems are a crucial tool for data management in modern practices. Although patient data can be efficiently collected, stored and shared, the use of remote connectivity in cloud-based software is the key to effective patient-doctor communication.
The advent of communication systems has allowed for the development of teledermatology services, where more recently teledermoscopy is helping improve the accuracy of diagnoses empowering doctors and patients to have an active fight against skin cancer.
The implementation of SaaS systems to dermatology services has changed the paradigm of how care is experienced by doctors and patients. AI is now helping further transform such services to have better efficiency, adaptability and safety.
Skin cancer is a problem that affects us all. In spite of the widely recognized importance of skin cancer early detection, rates continue to increase. Overwhelmed, dermatologists are starting to empower patients with mobile dermoscopes to take skin cancer imaging into their own hands.